Searching for authors named "Eirinaios Michelakis" – sorted by Relevance.
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Granularity Conscious Modeling for Probabilistic Databases
- The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inaccurately – capture the state of the world. Reasoning about uncertainty as a first class citizen, inside a database system, b
- Cited by 1 (1 self) – Add To MetaCart
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Filtron: A Learning-Based Anti-Spam Filter
- We present Filtron, a prototype anti-spam filter that integrates the main empirical conclusions of our comprehensive analysis on using machine learning to construct e#ective personalized anti-spam filters. Filtron is based on the experimental results over several design parameters on four publicl
- Cited by 11 (2 self) – Add To MetaCart
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Probabilistic Complex Event Triggering
- Abstract. Recently, wireless sensor devices have been widely deployed in various application settings (including environmental research, control systems, etc.). Because of the inherent unreliability of sensor readings, any kind of reasoning in sensor environments needs to carefully account for noise
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Filtron: A Learning-Based Anti-Spam Filter
- We present Filtron, a prototype anti-spam filter that integrates the main empirical conclusions of our comprehensive analysis on using machine learning to construct e#ective personalized anti-spam filters. Filtron is based on the experimental results over several design parameters on four publicl
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BAYESSTORE: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models
- Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications must constantly reason about volumes of noisy sensory readings for a variety of reasons, including motion prediction and hum
- Cited by 1 (0 self) – Add To MetaCart

